Unveiling Insights of Gig Economy through a Bibliometric Analysis

Authors

  • Asma Rashidah Idris Fakulti Pengurusan dan Perniagaan, Universiti Teknologi MARA (UiTM) Cawangan Negeri Sembilan Kampus Rembau, Malaysia
  • Raja Mayang Delima Mohd Beta Fakulti Pengurusan dan Perniagaan, Universiti Teknologi MARA (UiTM) Cawangan Negeri Sembilan Kampus Seremban, Malaysia
  • Asiah Ali Fakulti Pengurusan dan Perniagaan, Universiti Teknologi MARA (UiTM) Cawangan Negeri Sembilan Kampus Rembau, Malaysia
  • Masrul Hayati Kamarulzaman Fakulti Pengurusan dan Perniagaan, Universiti Teknologi MARA (UiTM) Cawangan Negeri Sembilan Kampus Rembau, Malaysia
  • Nurain Farahana Zainal Abidin Fakulti Pengurusan dan Perniagaan, Universiti Teknologi MARA (UiTM) Cawangan Negeri Sembilan Kampus Rembau, Malaysia
  • Purnomo M Antara Fakulti Pengurusan dan Perniagaan, Universiti Teknologi MARA (UiTM) Cawangan Negeri Sembilan Kampus Rembau, Malaysia

DOI:

https://doi.org/10.21834/e-bpj.v10iSI28.6945

Keywords:

Gig Economy, Workforce, Labour Market, Human Resource

Abstract

This study explores the scholarly landscape surrounding gig work, focusing on the trends, key themes, and influential research contributions. 3828 articles from the WoS database were analysed using a bibliometric analysis, including the co-citation analysis, keyword analysis, and citation network mapping. We uncover the evolution of research trajectories, prominent authors, and core concepts within the field. The results illuminate the interdisciplinary nature of gig work research. Moreover, the paper pinpoints emerging topics and gaps in the existing literature, offering valuable insights for future research endeavours. This bibliometric contributes to a deeper understanding of the scholarly discourse surrounding gig work, furnishing a blueprint for propelling research in this dynamic domain.

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Published

2025-05-14

How to Cite

Idris, A. R., Mohd Beta, R. M. D., Ali, A., Kamarulzaman, M. H., Zainal Abidin, N. F., & Antara, P. M. (2025). Unveiling Insights of Gig Economy through a Bibliometric Analysis. Environment-Behaviour Proceedings Journal, 10(SI28), 205–211. https://doi.org/10.21834/e-bpj.v10iSI28.6945